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Maximilian Podstawski

Personal Details

First Name:Maximilian
Middle Name:
Last Name:Podstawski
Suffix:
RePEc Short-ID:ppo369
[This author has chosen not to make the email address public]

Affiliation

DIW Berlin (Deutsches Institut für Wirtschaftsforschung)

Berlin, Germany
http://www.diw.de/
RePEc:edi:diwbede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
  2. Michele Piffer & Maximilian Podstawski, 2017. "Identifying Uncertainty Shocks Using the Price of Gold," CESifo Working Paper Series 6327, CESifo.
  3. Maximilian Podstawski & Anton Velinov, 2016. "The State Dependent Impact of Bank Exposure on Sovereign Risk," Discussion Papers of DIW Berlin 1550, DIW Berlin, German Institute for Economic Research.
  4. Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.
  5. Paul Viefers & Ferdinand Fichtner & Simon Junker & Maximilian Podstawski, 2014. "Filtering German Economic Conditions from a Large Dataset: The New DIW Economic Barometer," Discussion Papers of DIW Berlin 1414, DIW Berlin, German Institute for Economic Research.
  6. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.
  7. Konstantin Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?," KOF Working papers 10-256, KOF Swiss Economic Institute, ETH Zurich.
  8. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

Articles

  1. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
  2. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.
  3. Maximilian Podstawski & Christoph Priesmeier, 2018. "Gesamtwirtschaftliche Effekte fiskalischer Unsicherheit [Economic Effects of Fiscal Uncertainty in Germany]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 98(7), pages 494-497, July.
  4. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft: Aufwärtstrend setzt sich fort, Brexit dämpft: Herbstgrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(36), pages 785-804.
  5. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft setzt Aufschwung fort – trotz schwächeren Beschäftigungsaufbaus: Wintergrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(50), pages 1177-1188.
  6. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft trotz unsicherer Weltkonjunktur auf Kurs: Frühjahrsgrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(11), pages 212-230.
  7. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "German Economy Back on Track, Despite Weak Global Economy," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 6(11), pages 129-132.
  8. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "German Economy on a Stable Growth Path," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 6(24/25), pages 281-288.
  9. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft folgt stabilem Aufwärtstrend: Sommergrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(24/25), pages 531-538.
  10. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "German Economy: Upward Trend Continues Despite Brexit Vote’s Dampening Effect," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 6(36), pages 435-438.
  11. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Despite Weaker Job Market, Germany’s Economic Upswing Continues," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 6(50), pages 587-593.
  12. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Upswing of German Economy Prevails," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(26), pages 343-356.
  13. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "DIW Economic Outlook," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(38), pages 495-501.
  14. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Inlandsnachfrage treibt deutsche Wirtschaft an: Wintergrundlinien 2015," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(51/52), pages 1203-1213.
  15. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Domestic Demand Drives German Economy," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(50-52), pages 653-662.
  16. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Aufschwung bei gedämpfter Weltkonjunktur: Frühjahrsgrundlinien 2015," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(11), pages 219-247.
  17. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Growth through Research and Development," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(35), pages 455-465.
  18. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Herbstgrundlinien 2015," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(38), pages 827-855.
  19. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Upswing in a Subdued Global Economy: DIW Economic Outlook," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(11), pages 151-157.
  20. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Wachstum durch Forschung und Entwicklung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(35), pages 751-762.
  21. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2015. "Deutsche Wirtschaft setzt Aufschwung fort: Sommergrundlinien 2015," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(26), pages 591-606.
  22. Ferdinand Fichtner & Marcel Fratzscher & Maximilian Podstawski & Dirk Ulbricht, 2014. "Making the Euro Area Fit for the Future," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 4(9), pages 3-14.
  23. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Maximilian Podstawski & Philip Müller , 2014. "Frühjahrsgrundlinien 2014," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(11), pages 191-222.
  24. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Maximilian Podstawski & Malte Rieth & , 2014. "Sommergrundlinien 2014," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(25), pages 567-594.
  25. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2014. "Deutsche Wirtschaft überwindet Schwächephase: Wintergrundlinien 2014," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(51/52), pages 1295-1305.
  26. Ferdinand Fichtner & Marcel Fratzscher & Maximilian Podstawski & Dirk Ulbricht, 2014. "Den Euroraum zukunftsfähig machen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(24), pages 527-539.
  27. Ferdinand Fichtner & Guido Baldi & Franziska Bremus & Karl Brenke & Christian Dreger & Hella Engerer & Christoph Große Steffen & Simon Junker & Claus Michelsen & Katharina Pijnenburg & Maximilian Pods, 2014. "Herbstgrundlinien 2014," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(38), pages 871-899.
  28. Kerstin Bernoth & Maximilian Podstawski, 2011. "Kommt die Finanztransaktionssteuer?: Kommentar," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(42), pages 16-16.
  29. Ferdinand Fichtner & Ansgar Belke & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Christoph Große Steffen & Hendrik Hagedorn & Vladimir Kuzin & Nima Moshgbar & Katharina Pijnen, 2011. "Grundlinien der Wirtschaftsentwicklung 2011/2012," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(1/2), pages 2-30.
  30. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Christoph Große Steffen & Hendrik Hagedorn & Vladmimir Kuzin & Katharina Pijnenburg & Maximilian Podstawski &, 2010. "Herbstgrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(39), pages 2-16.
  31. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.

Books

  1. Heike Belitz & Simon Junker & Alexander Schiersch & Maximilian Podstawski, 2015. "Wirkung von Forschung und Entwicklung auf das Wirtschaftswachstum: Gutachten im Auftrag der KfW Bankengruppe (KfW)," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 102, number pbk102, july.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

    Mentioned in:

    1. Nowcasting consumption with Google
      by Adam Ozimek in Modeled Behavior on 2010-06-07 16:26:11

Working papers

  1. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
    2. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
    3. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

  2. Michele Piffer & Maximilian Podstawski, 2017. "Identifying Uncertainty Shocks Using the Price of Gold," CESifo Working Paper Series 6327, CESifo.

    Cited by:

    1. Kerssenfischer, Mark, 2017. "The effects of US monetary policy shocks: Applying external instrument identification to a dynamic factor model," Discussion Papers 08/2017, Deutsche Bundesbank.
    2. Bonciani, Dario & Ricci, Martino, 2020. "The global effects of global risk and uncertainty," Bank of England working papers 863, Bank of England.
    3. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    4. Olli Palm'en, 2022. "Macroeconomic Effect of Uncertainty and Financial Shocks: a non-Gaussian VAR approach," Papers 2202.10834, arXiv.org.
    5. Lütkepohl, Helmut & Schlaak, Thore, 2021. "Heteroskedastic Proxy Vector Autoregressions," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242399, Verein für Socialpolitik / German Economic Association.
    6. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," Economics Working Papers 2020-11, Department of Economics and Business Economics, Aarhus University.
    7. Habib, Maurizio Michael & Venditti, Fabrizio, 2019. "The global capital flows cycle: structural drivers and transmission channels," Working Paper Series 2280, European Central Bank.
    8. Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
    9. Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    10. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
    11. Martin Gächter & Martin Geiger & Sebastian Stöckl, 2019. "Credit Intermediation and the Transmission of Macro-Financial Uncertainty: International Evidence," Arbeitspapiere 63, Liechtenstein-Institut.
    12. Brautzsch, Hans-Ulrich & Dany-Knedlik, Geraldine & Drygalla, Andrej & Gebauer, Stefan & Holtemöller, Oliver & Kämpfe, Martina & Lindner, Axel & Michelsen, Claus & Rieth, Malte & Schlaak, Thore, 2019. "Kurzfristige ökonomische Effekte eines "Brexit" auf die deutsche Wirtschaft: Studie im Auftrag des Bundesministeriums für Wirtschaft und Energie," IWH Online 3/2019, Halle Institute for Economic Research (IWH).
    13. Georgios Georgiadis & Ben Schumann, 2019. "Dominant-Currency Pricing and the Global Output Spillovers from U.S. Dollar Appreciation," Globalization Institute Working Papers 368, Federal Reserve Bank of Dallas.
    14. Eunbin Chung & Inbok Rhee, 2022. "Disasters and intergroup peace in sub-Saharan Africa," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(1), pages 58-72, January.
    15. Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Downside and Upside Uncertainty Shocks," CEPR Discussion Papers 15881, C.E.P.R. Discussion Papers.
    16. Danilo Cascaldi-Garcia & Marija Vukotić, 2020. "Patent-Based News Shocks," International Finance Discussion Papers 1277, Board of Governors of the Federal Reserve System (U.S.).
    17. Härtl, Tilmann, 2022. "Identifying Proxy VARs with Restrictions on the Forecast Error Variance," VfS Annual Conference 2022 (Basel): Big Data in Economics 264071, Verein für Socialpolitik / German Economic Association.
    18. OH, Joonseok; ROGANTINI PICCO, Anna, 2019. "Macro uncertainty and unemployment risk," Economics Working Papers ECO 2019/02, European University Institute.
    19. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
    20. Martin Geiger & Jochen Güntner, 2022. "The Chronology of Brexit and UK Monetary Policy," Economics working papers 2022-06, Department of Economics, Johannes Kepler University Linz, Austria.
    21. Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," GRU Working Paper Series GRU_2021_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    22. Haroon Mumtaz & Konstantinos Theodoridis, 2017. "Fiscal Policy Shocks and Stock Prices in the United States," Working Papers 817, Queen Mary University of London, School of Economics and Finance.
    23. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
    24. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    25. Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..
    26. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    27. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Carsen Jentsch & Kurt Graden Lunsford, 2019. "Asymptotically Valid Bootstrap Inference for Proxy SVARs," Working Papers 19-08, Federal Reserve Bank of Cleveland.
    29. Martin Bruns, 2019. "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin 1831, DIW Berlin, German Institute for Economic Research.
    30. Soojin Jo & Justin J. Lee, 2019. "Uncertainty and Labor Market Fluctuations," Working Papers 1904, Federal Reserve Bank of Dallas.
    31. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    32. Danilo Cascaldi-Garcia, 2022. "Forecast Revisions as Instruments for News Shocks," International Finance Discussion Papers 1341, Board of Governors of the Federal Reserve System (U.S.).
    33. Alejandro Vicondoa & Andrea Gazzani, 2020. "Bridge Proxy-SVAR: Estimating the Macroeconomic Effects of Shocks Identified at High-Frequency," Documentos de Trabajo 533, Instituto de Economia. Pontificia Universidad Católica de Chile..
    34. Kerssenfischer, Mark & Schmeling, Maik, 2022. "What moves markets?," Discussion Papers 16/2022, Deutsche Bundesbank.
    35. Cepni, Oguzhan & Dul, Wiehan & Gupta, Rangan & Wohar, Mark E., 2021. "The dynamics of U.S. REITs returns to uncertainty shocks: A proxy SVAR approach," Research in International Business and Finance, Elsevier, vol. 58(C).
    36. Bonciani, Dario & Ricci, Martino, 2020. "The international effects of global financial uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    37. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    38. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    39. Kaminska, Iryna & Mumtaz, Haroon & Sustek, Roman, 2021. "Monetary policy surprises and their transmission through term premia and expected interest rates," Bank of England working papers 914, Bank of England, revised 28 Apr 2021.
    40. Jean-François Carpantier, 2020. "Anything but gold. The golden constant revisited," LIDAM Discussion Papers IRES 2020036, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    41. Berg, Kimberly A. & Vu, Nam T., 2019. "International spillovers of U.S. financial volatility," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 19-34.
    42. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
    43. Martin Bruns & Helmut Lütkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1913, DIW Berlin, German Institute for Economic Research.
    44. Seohyun Lee & Inhwan So & Jongrim Ha, 2018. "Identifying Uncertainty Shocks due to Geopolitical Swings in Korea," Working Papers 2018-26, Economic Research Institute, Bank of Korea.
    45. Mirela Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 280730188, Lancaster University Management School, Economics Department.
    46. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    47. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
    48. Rivolta, Giulia & Trecroci, Carmine, 2020. "Measuring the effects of U.S. uncertainty and monetary conditions on EMEs' macroeconomic dynamics," MPRA Paper 99403, University Library of Munich, Germany.
    49. Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
    50. Boer, Lukas & Lütkepohl, Helmut, 2021. "Qualitative versus quantitative external information for proxy vector autoregressive analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    51. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.
    52. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The Real Effects of Financial Uncertainty Shocks: A Daily Identification Approach," Documentos de Trabajo 559, Instituto de Economia. Pontificia Universidad Católica de Chile..
    53. Georgiadis, Georgios & Müller, Gernot & Schumann, Ben, 2021. "Global Risk and the Dollar," CEPR Discussion Papers 16245, C.E.P.R. Discussion Papers.
    54. Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2022. "Uncertainty spill-overs: when policy and financial realms overlap," Working Papers wp1174, Dipartimento Scienze Economiche, Universita' di Bologna.
    55. Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
    56. Altavilla, Carlo & Darracq Pariès, Matthieu & Nicoletti, Giulio, 2015. "Loan supply, credit markets and the euro area financial crisis," Working Paper Series 1861, European Central Bank.
    57. Sangyup Choi & Junhyeok Shin, 2020. "Brave New World? Bitcoin is not the New Gold: Understanding Cryptocurrency Price Dynamics," Working papers 2020rwp-167, Yonsei University, Yonsei Economics Research Institute.
    58. Martin Bruns, 2019. "Proxy VAR models in a data-rich environment," University of East Anglia School of Economics Working Paper Series 2019-03, School of Economics, University of East Anglia, Norwich, UK..
    59. Mario Forni & Luca Gambetti & Luca Sala, 2020. "Macroeconomic Uncertainty and Vector Autoregressions," Center for Economic Research (RECent) 148, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    60. Breitenlechner, Max & Scharler, Johann, 2021. "Monetary policy announcements and bank lending: Do banks’ refinancing markets matter?," Economic Modelling, Elsevier, vol. 102(C).
    61. Rangan Gupta & Godwin Olasehinde-Williams & Mark E. Wohar, 2018. "The Impact of US Uncertainty Shocks on a Panel of Advanced and Emerging Market Economies: The Role of Exchange Rate, Trade and Financial Channels," Working Papers 201857, University of Pretoria, Department of Economics.
    62. Brianti, Marco, 2021. "Financial Shocks, Uncertainty Shocks, and Monetary Policy Trade-Offs," Working Papers 2021-5, University of Alberta, Department of Economics.
    63. Jongrim Ha & Seohyun Lee & Inhwan So, 2022. "The Impact of Uncertainty Shocks: Evidence from Geopolitical Swings on the Korean Peninsula," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 21-56, February.
    64. Michael Ryan, 2020. "A Narrative Approach to Creating Instruments with Unstructured and Voluminous Text: An Application to Policy Uncertainty," Working Papers in Economics 20/10, University of Waikato.
    65. Breitenlechner, Max & Geiger, Martin & Scharler, Johann, 2022. "Bank liquidity and the propagation of uncertainty in the U.S," Finance Research Letters, Elsevier, vol. 46(PB).
    66. Venditti, Fabrizio & Veronese, Giovanni, 2020. "Global financial markets and oil price shocks in real time," Working Paper Series 2472, European Central Bank.
    67. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
    68. Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
    69. Lukas Boer & Helmut Lütkepohl, 2020. "A Simple Instrument for Proxy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1905, DIW Berlin, German Institute for Economic Research.
    70. Ma, Xiaohan & Samaniego, Roberto, 2019. "Deconstructing uncertainty," European Economic Review, Elsevier, vol. 119(C), pages 22-41.
    71. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    72. Seohyun Lee & Rickard Nyman, 2019. "Tracking Uncertainty through the Relative Sentiment Shift Series," Working Papers 2019-12, Economic Research Institute, Bank of Korea.

  3. Maximilian Podstawski & Anton Velinov, 2016. "The State Dependent Impact of Bank Exposure on Sovereign Risk," Discussion Papers of DIW Berlin 1550, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Bank of Finland Research Discussion Papers 35/2017, Bank of Finland.
    2. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
    3. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers:an Application to International Credit Risk Transmission," Working Papers hal-03338209, HAL.
    4. María J. Nieto & Dalvinder Singh, 2021. "Incentive compatible relationship between the ERM II and close cooperation in the Banking Union: the cases of Bulgaria and Croatia," Occasional Papers 2117, Banco de España.
    5. Grosse Steffen, Christoph & Podstawski, Maximilian, 2017. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168101, Verein für Socialpolitik / German Economic Association.
    6. Velinov, Anton, 2018. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 106-126.
    7. José Manuel Mansilla-Fernández, 2020. "Non-Performing loans, financial stability, and banking competition: evidence for listed and non-listed Eurozone banks," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 29-52, March.
    8. G. Chiesa & J. M. Mansilla-Fernández, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisi," Working Papers wp1124, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Research Discussion Papers 35/2017, Bank of Finland.
    10. Bratis, Theodoros & Laopodis, Nikiforos T. & Kouretas, Georgios P., 2020. "Systemic risk and financial stability dynamics during the Eurozone debt crisis," Journal of Financial Stability, Elsevier, vol. 47(C).
    11. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
    12. Daniel Bierbaumer & Malte Rieth & Anton Velinov, 2018. "Nonlinear Intermediary Pricing in the Oil Futures Market," Discussion Papers of DIW Berlin 1722, DIW Berlin, German Institute for Economic Research.
    13. Gabriella CHIESA & José Manuel MANSILLA-FERNÁNDEZ, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisis," Departmental Working Papers 2018-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

  4. Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Meyer, Josefin & Reinhart, Carmen M. & Trebesch, Christoph, 2019. "Sovereign Bonds since Waterloo," CEPR Discussion Papers 13514, C.E.P.R. Discussion Papers.
    2. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers:an Application to International Credit Risk Transmission," Working Papers hal-03338209, HAL.

  5. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
    4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
    5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
    9. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    10. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    11. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
    12. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    13. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    14. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
    15. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    16. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    17. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
    18. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    19. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    20. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    21. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
    22. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    23. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
    24. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  6. Konstantin Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?," KOF Working papers 10-256, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
    4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
    5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
    9. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    10. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    11. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
    12. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    13. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    14. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
    15. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    16. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    17. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
    18. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    19. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    20. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    21. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
    22. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    23. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
    24. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  7. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
    2. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    3. Azusa Matsumoto & Kohei Matsumura & Noriyuki Shiraki, 2013. "Potential of Search Data in Assessment of Current Economic Conditions," Bank of Japan Research Papers 2013-04-18, Bank of Japan.

Articles

  1. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
    See citations under working paper version above.
  2. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.
    See citations under working paper version above.
  3. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft setzt Aufschwung fort – trotz schwächeren Beschäftigungsaufbaus: Wintergrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(50), pages 1177-1188.

    Cited by:

    1. van Deuverden Kristina, 2017. "Nur geringer haushaltspolitischer Spielraum trotz hoher Überschüsse," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 66(1), pages 50-60, April.

  4. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Growth through Research and Development," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(35), pages 455-465.

    Cited by:

    1. Pietro Moncada-Paternò-Castello, 2022. "Top R&D investors, structural change and the R&D growth performance of young and old firms," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 1-33, March.
    2. Pietro Moncada-Paternò-Castello & Sara Amoroso & Michele Cincera, 0. "Corporate R&D intensity decomposition: different data, different results?," Science and Public Policy, Oxford University Press, vol. 47(4), pages 458-473.

  5. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Wachstum durch Forschung und Entwicklung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(35), pages 751-762.

    Cited by:

    1. Stefan Sauer & Arno Städtler, 2015. "Anhaltend moderates Investitionswachstum – Leasing expandiert mit abnehmender Dynamik," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(18), pages 67-70, September.

  6. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Christoph Große Steffen & Hendrik Hagedorn & Vladmimir Kuzin & Katharina Pijnenburg & Maximilian Podstawski &, 2010. "Herbstgrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(39), pages 2-16.

    Cited by:

    1. Marcel Fratzscher & Philipp König & Claudia Lambert, 2013. "Liquiditätsmanagement des Eurosystems im Zeichen der Krise," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(44), pages 3-17.

  7. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.

    Cited by:

    1. Heike Belitz & Martin Gornig & Alexander Schiersch, 2011. "Deutsche forschungsintensive Industrie: Feuerprobe in der Krise bestanden?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 35-54.
    2. Marius Clemens & Florian Mölders, 2011. "Quo vadis? Deutsche forschungsintensive Exporte auf dem richtigen Weg," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 73-88.

Books

  1. Heike Belitz & Simon Junker & Alexander Schiersch & Maximilian Podstawski, 2015. "Wirkung von Forschung und Entwicklung auf das Wirtschaftswachstum: Gutachten im Auftrag der KfW Bankengruppe (KfW)," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 102, number pbk102, july.

    Cited by:

    1. Krebs, Tom & Scheffel, Martin, 2016. "Quantifizierung der gesamtwirtschaftlichen und fiskalischen Effekte ausgewählter Infrastruktur- und Bildungsinvestitionen in Deutschland," Working Papers 16-13, University of Mannheim, Department of Economics.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Closeness measure in co-authorship network

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EEC: European Economics (3) 2014-10-22 2016-03-06 2016-08-21
  2. NEP-FOR: Forecasting (3) 2009-11-21 2010-05-08 2010-06-04
  3. NEP-MIC: Microeconomics (2) 2010-05-08 2010-06-04
  4. NEP-ORE: Operations Research (2) 2016-08-21 2017-10-15
  5. NEP-UPT: Utility Models & Prospect Theory (2) 2016-08-21 2017-10-15
  6. NEP-CBA: Central Banking (1) 2018-07-30
  7. NEP-ECM: Econometrics (1) 2018-07-30
  8. NEP-ETS: Econometric Time Series (1) 2018-07-30
  9. NEP-FMK: Financial Markets (1) 2016-08-21
  10. NEP-MKT: Marketing (1) 2010-06-04
  11. NEP-MON: Monetary Economics (1) 2018-07-30

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